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Statistical methods for climate scientists

Record Type:	Electronic resources : Monograph/item
Title/Author:	Statistical methods for climate scientistsTimothy M. DelSole, Michael K. Tippett.
Author:	DelSole, Timothy M.
other author:	Tippett, Michael K.
Published:	Cambridge :Cambridge University Press,2022.
Description:	xvii, 525 p. :ill., digital ;25 cm.
Notes:	Title from publisher's bibliographic system (viewed on 09 Feb 2022).
Subject:	ClimatologyStatistical methods.
Online resource:	https://doi.org/10.1017/9781108659055
ISBN:	9781108659055$q(electronic bk.)

Statistical methods for climate scientists
DelSole, Timothy M.

Statistical methods for climate scientists[electronic resource] /Timothy M. DelSole, Michael K. Tippett. - Cambridge :Cambridge University Press,2022. - xvii, 525 p. :ill., digital ;25 cm.

Title from publisher's bibliographic system (viewed on 09 Feb 2022).

A comprehensive introduction to the most commonly used statistical methods relevant in atmospheric, oceanic and climate sciences. Each method is described step-by-step using plain language, and illustrated with concrete examples, with relevant statistical and scientific concepts explained as needed. Particular attention is paid to nuances and pitfalls, with sufficient detail to enable the reader to write relevant code. Topics covered include hypothesis testing, time series analysis, linear regression, data assimilation, extreme value analysis, Principal Component Analysis, Canonical Correlation Analysis, Predictable Component Analysis, and Covariance Discriminant Analysis. The specific statistical challenges that arise in climate applications are also discussed, including model selection problems associated with Canonical Correlation Analysis, Predictable Component Analysis, and Covariance Discriminant Analysis. Requiring no previous background in statistics, this is a highly accessible textbook and reference for students and early-career researchers in the climate sciences.

ISBN: 9781108659055$q(electronic bk.)Subjects--Topical Terms:

191997
Climatology
--Statistical methods.

LC Class. No.: QC866 / .D38 2022

Dewey Class. No.: 551.6015118

Statistical methods for climate scientists
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245 1 0 $a Statistical methods for climate scientists $h [electronic resource] / $c Timothy M. DelSole, Michael K. Tippett.
260 $a Cambridge : $b Cambridge University Press, $c 2022.
300 $a xvii, 525 p. : $b ill., digital ; $c 25 cm.
500 $a Title from publisher's bibliographic system (viewed on 09 Feb 2022).
520 $a A comprehensive introduction to the most commonly used statistical methods relevant in atmospheric, oceanic and climate sciences. Each method is described step-by-step using plain language, and illustrated with concrete examples, with relevant statistical and scientific concepts explained as needed. Particular attention is paid to nuances and pitfalls, with sufficient detail to enable the reader to write relevant code. Topics covered include hypothesis testing, time series analysis, linear regression, data assimilation, extreme value analysis, Principal Component Analysis, Canonical Correlation Analysis, Predictable Component Analysis, and Covariance Discriminant Analysis. The specific statistical challenges that arise in climate applications are also discussed, including model selection problems associated with Canonical Correlation Analysis, Predictable Component Analysis, and Covariance Discriminant Analysis. Requiring no previous background in statistics, this is a highly accessible textbook and reference for students and early-career researchers in the climate sciences.
650 0 $a Climatology $x Statistical methods. $3 191997
650 0 $a Marine sciences $x Statistical methods. $3 930525
650 0 $a Atmospheric science $x Statistical methods. $3 930526
700 1 $a Tippett, Michael K. $3 930524
856 4 0 $u https://doi.org/10.1017/9781108659055